1. Semantic Web and Web Mining: Networking with Industry and Academia İsmail Hakkı Toroslu IST EVENT 2006

2. WWW: Related Subjects Browsers and Search: –browsers that are richer and more interactive –improved search tools to explore and access complex and unstructured information on the Web

3. WWW: Related Subjects XML: –language of the Web –basis for many Web-based applications Used for – data exchange –to publish data from database systems (provides input to content generators). (provides input to content generators). Web Services: intra- and inter-enterprise application integration (e-commerce)

4. WWW: Related Subjects Semantic Web: to extend the current human-readable web by encoding the semantics of web-resources in a machine-interpretable form Used for – to automatically integrate data from different sources –to perform actions on behalf of the user –to search for information based on its meaning rather than its syntactic form. based on its meaning rather than its syntactic form.

5. WWW: Related Subjects Web Mining: to develop techniques to derive knowledge from data published in web-accessible formats Due to heterogeneity and lack of structure in web data automated discovery of targeted or unexpected knowledge becomes hard Related fields: data mining, machine learning, natural language processing, statistics, natural language processing, statistics, databases, information retrieval databases, information retrieval

6. Issues: Browsers and Search Search engine design and architecture Basic search engine infrastructure: crawling, indexing, and query processing Personalized search: location, context, activity-aware search Query languages for Web data Search interfaces: natural language interfaces, summarization, post processing tools, feedback Search-motivated characterizations of the web Meta-search and ranking

7. Issues: XML and Web Services Service contract and metadata Orchestration, choreography, composition of services Using formal methods on Web Services Large scale XML data integration XML query processing and data management Web Engineering: tools and technologies for Web Services development, deployment, management Software methodologies for Service-Oriented Systems

8. Issues: Semantic Web Ontologies, ontology representation languages Semantic annotation and metadata Semantic integration and interoperability Semantic search and retrieval Semantic web services Semantic web mining Ontology learning

9. Issues: Web Mining Classification and clustering of web data Web content mining Web link structure mining Web usage mining (log and web traffic analysis) Building user profiles and providing recommendations Change detection and monitoring methods for web data Entity and relationship extraction and disambiguation Privacy issues in web mining Data integration and data cleaning Integrating linguistic and domain knowledge in web mining